UP DCS

Code	Title	Description
Bioinfo 201	Foundations of Bioinformatics	Foundational biological and computational concepts, algorithms and bioinformatics tools for analyzing data
Bioinfo 202	Statistics for Bioinformatics	Concepts in probability theory, sampling distributions, statistical methods and theories for proper testing and evaluation of methods and output of bioinformatics analyses
Bioinfo 203	Bioinformatics Software Engineering	Bioinformatics software development and engineering methods and processes, and case studies for bioinformatics applications
Bioinfo 204	Computational Methods for Analyzing Nucleic Acids and Proteins	Applications and algorithms for the analysis of nucleic acids and protein structures and interactions
Bioinfo 205	Fundamentals of Computational Biology	Models and methods of analysis for various levels of biological organization
Bioinfo 221	Genomic and Transcriptomic Bioinformatics	Advanced computational methods for phylogenetics, sequence assembly, and transcriptomic analysis
Bioinfo 271	Ethical, Legal and Social Issues in Bioinformatics	Case studies regarding various ethical, legal and social issues in bioinformatics
Bioinfo 296	Graduate Seminar	Synthesis of research papers and effective communication of research in bioinformatics
Bioinfo 297	Special Topics in Bioinformatics
Bioinfo 300	Master's Thesis
COI	-
CS 10	Introduction to Computing	History of computing, parts of a computer, data storage in a computer, trends and issues in computing.
CS 11	Computer Programming I	Basic Programming, Programming Constructs, Programming Logic.
CS 12	Computer Programming II	Abstract data types: Advanced programming techniques: Exception handling. Documentation. API programming
CS 20	Digital Electronics and Circuits	Basic electronics, digital logic design, physical/embedded computing (Prereq: CS 12)
CS 21	Computer Organization and Architecture	Computer Organization, Computer Architecture, Assembly Language Programming (Prereq: CS 20)
CS 30	Discrete Mathematics for Computer Science I	Discrete structures and their applications to Computer Science I, Logic and Methods of Proof.
CS 31	Discrete Mathematics for Computer Science II	Discrete structures and their applications to Computer Science II, Introduction to Counting Theory, Graph Theory and Discrete Probability
CS 32	Discrete Mathematics for Computer Science I	Introduction to algorithm design and analysis, Linear data structures and their applications; Sorting Algorithms and Randomized Algorithms; Algorithm Analysis (Prereq: CS 12, CS 31)
CS 33	Discrete Mathematics for Computer Science II	Trees, graphs, algorithms on graphs, generalized lists, randomized algorithms, and probabilistic analysis.
CS 132	Introduction to Data Science	Big data analytics, statistical models, Bayesian methods, Markov chains.
CS 133	Automata Theory and Computability	Alphabet, words, languages and algorithmic problems. Finite automata and hierarchy of languages. Turing machines. Tractable and intractable problems. Uncomputable functions. The halting problem.
CS 136	Elementary Numerical Computing I	Elementary differential equations, introduction to numerical analysis, root finding, collocation method.
CS 138	Elementary Numerical Computing II	Numerical differentiation and integration, partial differential equations, numerical linear algebra
CS 140	Operating Systems	Operating system concepts; virtualization and multiprocessing, issues and considerations in designing and implementing common features of operating systems; virtual machines and hypervisors; introduction to real-time operating systems, and operating syste
CS 145	Computer Networks	Network models and layers, protocol stacks, networks performance analysis, packet analysis, computer networks security, overview of advanced networking technologies
CS 150	Programming Languages	Survey of Programming Languages: History and overview of programming languages, Programming paradigms: imperative, functional, object-oriented, logic, Type systems, Declaration and modularity, Introduction to syntax and semantics
CS 153	Introduction to Computer Security	Computer security models and protocols. Security issues. Cryptographic algorithms and digital signatures. Risk Assessment
CS 155	Compiler Construction	Compiler phases, scanners and parsers, semantic analysis and type checking, syntax directed translation, function and procedure calls and runtime organization, register allocation and instruction selection, ...
CS 165	Database Systems	Relational database concepts: Entity Relation modeling, relational model, relational algebra, relational database design and normalization, structured query language, query optimization, File management, Storage and Indexing, ...
CS 171	Topics in Theoretical Computer Science	Prereq: COI; may be taken twice, topic to be indicated for record purposes.
CS 172	Topics in Net-Centric Computing	Prereq: COI; may be taken twice, topic to be indicated for record purposes.
CS 173	Topics in Software Technology	Prereq: COI; may be taken twice, topic to be indicated for record purposes.
CS 174	Topics in Computer Systems	Prereq: COI; may be taken twice, topic to be indicated for record purposes.
CS 175	Topics in Computational Science	Prereq: COI; may be taken twice, topic to be indicated for record purposes.
CS 176	Topics in Intelligent Systems	Prereq: COI; may be taken twice, topic to be indicated for record purposes.
CS 180	Artificial Intelligence	Fundamental principles of artificial intelligence. Search methods. Knowledge representation and reasoning. Agents. Machine learning and neural networks. Current research applications
CS 191	Software Engineering I	Principles of Software Engineering, Software Project Management, Requirements Engineering, Software Analysis and Design Patterns, Software Quality Assurance, Software Testing
CS 192	Software Engineering II	Software Implementation and Maintenance, Integration Strategies, and Security Issues.
CS 194	Undergraduate Research Seminar	Prereq: Junior standing. 1u. (1hr seminar)
CS 196	Seminar on Ethical and Professional Issues in Computing	Prereq: Senior standing. 1u. (1hr seminar)
CS 198	Special Problems I	Prereq: Senior standing (1hr lec, 6hr lab)
CS 199	Special Problems II
CS 200	Thesis
CS 204	Theory of Computation	Formal models of computation; recursive function theory; undecidability. Resourcebounded computational complexity, non-determinism, NPcompleteness.
CS 208	Complexity Theory	Computational models, measures of complexity, complexity classes: nondeterministic, alternating, probabilistic, parallel. Boolean circuits. Complete problems.
CS 210	Advanced Algorithms and Data Structures	Advanced data structures; algorithm design techniques; mathematical techniques in the analysis of algorithms.
CS 211	Combinatorial Optimization	Design and analysis of algorithms for combinatorial optimization problems, worst-case complexity, NP- Completeness proofs, heuristics. Open problems.
CS 213	Communication Theory	Mathematical theory of communication. Information Theory, Communication Channels. Coding. Cryptography.
CS 214	Parallel Algorithms	Models of parallel computation. Performance measures, scalability, pipelining, techniques for analyzing parallel algorithms. Interconnection network topologies. Applications.
CS 216	Randomized Algorithms	Construction and analysis of randomized algorithms. Expected performance of randomized algorithms, fundamental limitations on probabilistic computations, complexity issues, applications.
CS 220	Survey of Programming Languages	Comparative study of different types of modern programming languages; imperative, functional, logic-based and object-oriented. Syntax, semantics and implementation of programming languages.
CS 222	Programming Language Theory	Fundamental concepts underlying all programming languages. Semantic aspects including binding times, visibility, retention, storage management, abstraction mechanisms and extensibility. Operational and denotational semantic specifications.
CS 225	Compiler Design and Construction	Theory of compiler design and construction: techniques in error correction and recovery; code generation and optimization.
CS 231	Numerical Computing	Algorithm design for numerical computation. Error analysis. Performance evaluation of numerical software.
CS 233	Probabilistic Methods in Computer Science	Random combinatorial structures and their applications to computer science.
CS 236	Scientific Computing	Problems and methods in scientific computing. Applications from science and engineering.
CS 239	Parallel Computing	Parallel computer architectures. Programming for parallel architectures. Representation, program dependence, control structures.
CS 240	Computer Graphics	Solid modeling: Euler operators, finite element methods. Rendering: filling, shading, ray tracing. Natural modeling: L-systems, fractals. Image processing: filtering, antialiasing, enhancement.
CS 242	Data Visualization	Visualization techniques for data from science, business, social science, demographics, and information management.
CS 245	Network Optimization	Algorithms for network optimization problems; shortest paths, maximum flows, minimum-cost flows, multicommodity flows, dynamic flows, minimum cuts, matching, and assignment problem
CS 247	Cryptography	Primality testing, finite fields, elliptic curves. Protocols: public key cryptography, digital signatures, zero knowledge proofs, and other cryptographic protocols.
CS 248	Computational Mathematics	Overview of computational mathematics. Algorithms for computing with algebraic structures. Computer algebra systems.
CS 250	Advanced Operating Systems	Synchronization and communication mechanisms, virtual memory management,file systems, deadlock control, resource allocation, protection and access control. Case study of specialized systemsother cryptographic protocols.
CS 252	Advanced Computer Architecture
CS 253	Computer Security	Encryption, digital signatures,authentication, key management. Secure electronic commerce. Network Security. File security.
CS 255	Advanced Computer Networks	The OSI Reference Model and layers. Distributed computing. Networked multimedia systems. Clint-server computing. Communication and internet working.
CS 256	Computer Systems Performance Analysis	Overview of performance evaluation. Measurement techniques and tools. Applications of probability theory and techniques. Experimental design and analysis. Simulation and queuing models
CS 257	Distributed Systems	Computer communications networks and their protocols. Event ordering and synchronization. Deadlocks. Network operating systems and languages for distributed computing. Distributed databases. Fault tolerance and recovery strategies. Applications.
CS 258	Mobile Computing	Mobile computing systems. Data management, packet transmission, mobile IP, routing protocols, reliability and issues in mobile wireless networks.
CS 259	Network Performance, Modeling and Monitoring	Network performance evaluation. Measurement techniques and tools. Simulation, queuing models, case studies, practicals.
CS 260	Advanced Software Engineering	Structured approach to requirements analysis, system design, implementation and maintenance of software systems. Formal description and documentation techniques.
CS 262	Methods of Software Development	Modern approaches to software development. Prototyping and automated tools. Computer Aided Systems Engineering (CASE) methods and tools. Object-oriented Programming Systems (OOPS).
CS 265	Software Quality Assurance	Quality Management, Quality Assurance, Quality Control. Measurement and Analysis. Maturity Model.
CS 266	IT Project Management	Detailed discussions of project management knowledge areas and processes. Case studies. Simulations and walk through of real-world IT projects from initiation and planning to evaluation and closing.
CS 267	Software Engineering for the Web	Software process and requirements analysis, design, development and testing for web-based systems, software development tools, configuration management systems, case studies.
CS 268	Web Science	The Web as a full communications medium that fosters full collaboration, social interaction, and commerce. Case studies.
CS 270	Advanced Database Systems	Data models and their underlying mathematical foundations; database manipulation and query languages; functional dependencies; physical data organization and indexing methods; concurrency control; crash recovery; database security; distributed databases.
CS 271	Database Theory	Data models and their underlying mathematical foundations; database manipulation and query languages; functional dependencies; physical data organization and indexing methods; concurrency control; crash recovery; database security; distributed databases.
CS 280	Intelligent Systems	Fundamental issues in Intelligent Systems. Intelligent search and optimization methods. Knowledge representation and reasoning. Learning, natural language understanding, pattern recognition, knowledge-based systems and other methods in intelligent Systems
CS 281	Robotic Systems	Biologically-motivated robotic systems. Reactive, deliberative, and hybrid architectures. Knowledge representation for robotics systems. Sensor fusion and perceptual strategies. Adaptation and social behavior. Knowledge representation and reasoning. Learn
CS 282	Computer Vision	Image formation; early vision; segmentation from texture and motion; object representation; matching and inference; knowledge-based vision.
CS 283	Data Mining	Decision trees, association rules, clustering. Intrusion detection. Design and use of serial, distributed and parallel data mining algorithms.
CS 284	Machine Learning	Pattern recognition, parametric and nonparametric learning, decision trees, Bayesian and neural networks, reinforcement learning, genetic algorithms, computational learning theory.
CS 286	Natural Language Understanding	Computational properties of natural languages. Morphological, syntactic and semantic processing from an algorithmic perspective. Models of acquisition and parsing.
CS 287	Speech Processing	Models of speech processing, speech recognition and synthesis. Speech recognition systems. Text-to-speech systems. Applications.
CS 289	Digital Image Processing
CS 290	Advanced Topics in Theoretical Computer Science
CS 291	Advanced Topics in Net-Centric Computing
CS 292	Advanced Topics in Software Technology
CS 293	Advanced Topics in Computer Systems
CS 294	Advanced Topics in Computational Science
CS 295	Advanced Topics in Intelligent Systems
CS 296	Graduate Seminar
CS 297	Special Topics
CS 298	Special Problem
CS 300	Master's Thesis
CS 301	Communication Complexity
CS 315	Algorithms in Bioinformatics
CS 334	Computational Systems Biology

Bioinfo 201

Foundations of Bioinformatics

Foundational biological and computational concepts, algorithms and bioinformatics tools for analyzing data

Bioinfo 202

Statistics for Bioinformatics

Concepts in probability theory, sampling distributions, statistical methods and theories for proper testing and evaluation of methods and output of bioinformatics analyses

Bioinfo 203

Bioinformatics Software Engineering

Bioinformatics software development and engineering methods and processes, and case studies for bioinformatics applications

Bioinfo 204

Computational Methods for Analyzing Nucleic Acids and Proteins

Applications and algorithms for the analysis of nucleic acids and protein structures and interactions

Bioinfo 205

Fundamentals of Computational Biology

Models and methods of analysis for various levels of biological organization

Bioinfo 221

Genomic and Transcriptomic Bioinformatics

Advanced computational methods for phylogenetics, sequence assembly, and transcriptomic analysis

Bioinfo 271

Ethical, Legal and Social Issues in Bioinformatics

Case studies regarding various ethical, legal and social issues in bioinformatics

Bioinfo 296

Graduate Seminar

Synthesis of research papers and effective communication of research in bioinformatics

Bioinfo 297

Special Topics in Bioinformatics

Bioinfo 300

Master's Thesis

COI

-

CS 10

Introduction to Computing

History of computing, parts of a computer, data storage in a computer, trends and issues in computing.

CS 11

Computer Programming I

Basic Programming, Programming Constructs, Programming Logic.

CS 12

Computer Programming II

Abstract data types: Advanced programming techniques: Exception handling. Documentation. API programming

CS 20

Digital Electronics and Circuits

Basic electronics, digital logic design, physical/embedded computing (Prereq: CS 12)

CS 21

Computer Organization and Architecture

Computer Organization, Computer Architecture, Assembly Language Programming (Prereq: CS 20)

CS 30

Discrete Mathematics for Computer Science I

Discrete structures and their applications to Computer Science I, Logic and Methods of Proof.

CS 31

Discrete Mathematics for Computer Science II

Discrete structures and their applications to Computer Science II, Introduction to Counting Theory, Graph Theory and Discrete Probability

CS 32

Discrete Mathematics for Computer Science I

Introduction to algorithm design and analysis, Linear data structures and their applications; Sorting Algorithms and Randomized Algorithms; Algorithm Analysis (Prereq: CS 12, CS 31)

CS 33

Discrete Mathematics for Computer Science II

Trees, graphs, algorithms on graphs, generalized lists, randomized algorithms, and probabilistic analysis.

CS 132

Introduction to Data Science

Big data analytics, statistical models, Bayesian methods, Markov chains.

CS 133

Automata Theory and Computability

Alphabet, words, languages and algorithmic problems. Finite automata and hierarchy of languages. Turing machines. Tractable and intractable problems. Uncomputable functions. The halting problem.

CS 136

Elementary Numerical Computing I

Elementary differential equations, introduction to numerical analysis, root finding, collocation method.

CS 138

Elementary Numerical Computing II

Numerical differentiation and integration, partial differential equations, numerical linear algebra

CS 140

Operating Systems

Operating system concepts; virtualization and multiprocessing, issues and considerations in designing and implementing common features of operating systems; virtual machines and hypervisors; introduction to real-time operating systems, and operating syste

CS 145

Computer Networks

Network models and layers, protocol stacks, networks performance analysis, packet analysis, computer networks security, overview of advanced networking technologies

CS 150

Programming Languages

Survey of Programming Languages: History and overview of programming languages, Programming paradigms: imperative, functional, object-oriented, logic, Type systems, Declaration and modularity, Introduction to syntax and semantics

CS 153

Introduction to Computer Security

Computer security models and protocols. Security issues. Cryptographic algorithms and digital signatures. Risk Assessment

CS 155

Compiler Construction

Compiler phases, scanners and parsers, semantic analysis and type checking, syntax directed translation, function and procedure calls and runtime organization, register allocation and instruction selection, ...

CS 165

Database Systems

Relational database concepts: Entity Relation modeling, relational model, relational algebra, relational database design and normalization, structured query language, query optimization, File management, Storage and Indexing, ...

CS 171

Topics in Theoretical Computer Science